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\( F \)

Short Description

This symbol represents (here) the equivalent of a probability distribution which need not sum/integrate to 1.

Medium Description

This symbol represents (here) the equivalent of a probability distribution which need not sum/integrate to 1, but rather to some finite positive real value (e.g. the partition function \( \htmlClass{sdt-0000000077}{Z} \)).

Long Description

The symbol \( F \) is used to represent the general concept of a measure. Here, it names a probability distribution, possibly before normalization for integrating to 1: it takes non-negative values and integrates to a finite positive real value \( \htmlClass{sdt-0000000077}{Z} \).

References

  1. Jaeger, H. (n.d.). Neural Networks (AI) (WBAI028-05) Lecture Notes BSc program in Artificial Intelligence. Retrieved June 9, 2024, from https://www.ai.rug.nl/minds/uploads/LN_NN_RUG.pdf